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NEW QUESTION: 1
DRAG DROP
You need to recommend network connectivity solutions for the experimental applications.
What should you recommend? To answer, drag the appropriate solution to the correct network connection requirements. Each solution may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation:

Box 1: ExpressRoute
ExpressRoute gives you a fast and reliable connection to Azure making it suitable for scenarios like periodic data migration, replication for business continuity, disaster recovery and other high availability strategies. It can also be a cost-effective option for transferring large amounts of data such as datasets for high performance computing applications or moving large VMs between your dev/test environment in Azure and on-premises production environment.
Box 2: point-to-site VPN
Box 3: point-to-site VPN
A point-to-site VPN also allows you to create a secure connection to your virtual network. In a point-to-site configuration, the connection is configured individually on each client computer that you want to connect to the virtual network
Box 4: site-to-site VPN
A site-to-site VPN allows you to create a secure connection between your on-premises site and your virtual network. To create a site-to-site connection, a VPN device that is located on your on-premises network is configured to create a secure connection with the Azure
Virtual Network Gateway. Once the connection is created, resources on your local network and resources located in your virtual network can communicate directly and securely. Site- to-site connections do not require you to establish a separate connection for each client computer on your local network to access resources in the virtual network.
* Scenario: Support building experimental applications by using data from the Azure deployment and on-premises data sources.
References: http://azure.microsoft.com/en-us/services/expressroute/
https://msdn.microsoft.com/en-us/library/azure/dn133798.aspx
=====================================================
Topic 4, Lucerne Publishing
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies.
This media is streamed to computers by using the web, and to mobile devices around the world by using native applications. The company currently supports the iOS, Android, and
Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides access to its customers, who are third-party companies, so that they can download, upload, search, and index media that is stored on
Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently provides the following media delivery applications:
* Lucerne Media W - a web application that delivers media by using any browser
* Lucerne Media M - a mobile app that delivers media by using Windows Phone 8.1
* Lucerne Media A - a mobile app that delivers media by using an iOS device
* Lucerne Media N - a mobile app that delivers media by using an Android device
* Lucerne Media D - a desktop client application that customer's install on their local computer
Business Requirements
Lucerne Publishing's customers and their consumers have the following requirements:
* Access to media must be time-constricted once media is delivered to a consumer.
* The time required to download media to mobile devices must be minimized.
* Customers must have 24-hour access to media downloads regardless of their location or time zone.
* Lucerne Publishing must be able to monitor the performance and usage of its customer-facing app.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
* Customers must be able to access all data by using a web application. They must also be able to access data by using a mobile app that is provided by Lucerne
Publishing.
* Customers must be able to search for media assets by key words and media type.
* Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its customers. The solution has the following requirements:
* Optimize the storage location and amount of duplication of media.
* Vary several parameters including the number of data nodes and the distance from node to customers.
* Minimize network bandwidth.
* Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the existing on-premises cluster with a cloud-based solution. Lucerne
Publishing has the following requirements:
Virtual machines:
* The data mining solution must support the use of hundreds to thousands of processing cores.
* Minimize the number of virtual machines by using more powerful virtual machines.
Each virtual machine must always have eight or more processor cores available.
* Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the demand of the analysis.
* Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
* Ad copy data must be searchable in full text.
* Ad copy data must indexed to optimize search speed.
* Media metadata must be stored in Azure Table storage.
* Media files must be stored in Azure BLOB storage.
* The customer-facing website must have access to all ad copy and media.
* The customer-facing website must automatically scale and replicate to locations around the world.
* Media and data must be replicated around the world to decrease the latency of data transfers.
* Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
* Customer access must be managed by using Active Directory.
* Media files must be encrypted by using the PlayReady encryption method.
* Customers must be able to upload media quickly and securely over a private connection with no opportunity for internet snooping.

NEW QUESTION: 2

A. Option C
B. Option B
C. Option A
D. Option D
Answer: A,B
Explanation:
NFS v4.1 Firewall Behavior
When you mount the first NFS v4.1 datastore, ESXI enables the nfs41client rule set and sets its allowedAll flag to TRUE. This action opens port 2049 for all IP address.
Unmounting an NFS v4.1 datastore does not affect the firewall state. That is, the first NFS v4.1 mount opens port 2049 and that port remains enabled unless you close it explicitly.

NEW QUESTION: 3
There are two aggregate tables that are available for query. How would they be mapped into the logical data model so queries can use them?
A. By creating two new logical tables sources
B. By opening the two logical Table Source dialog boxes and mapping the appropriate levels in the Content tab
C. Both A and B
D. By creating one new Logical Table Source
Answer: B
Explanation:
Explanation/Reference:
B: Example:
1. Configure the new source table to have the 'logical level' under the content set to 'Countries' (the summarized level)

b
2. Do the similiar setting for dimension table
Now when user query the data at 'Counties' level, the query will be redirected to these summary table instead of the more detail fact table
Note: Aggregate tables are Physical tables that store Aggregates of measures across multiple levels of a Hierarchy.